rcompanion (version 2.5.0)

groupwiseGeometric: Groupwise geometric means and confidence intervals

Description

Calculates geometric means and confidence intervals for groups.

Usage

groupwiseGeometric(
  formula = NULL,
  data = NULL,
  var = NULL,
  group = NULL,
  conf = 0.95,
  na.rm = TRUE,
  digits = 3,
  ...
)

Value

A data frame of geometric means, standard deviations, standard errors, and confidence intervals.

Arguments

formula

A formula indicating the measurement variable and the grouping variables. e.g. y ~ x1 + x2.

data

The data frame to use.

var

The measurement variable to use. The name is in double quotes.

group

The grouping variable to use. The name is in double quotes. Multiple names are listed as a vector. (See example.)

conf

The confidence interval to use.

na.rm

If TRUE, removes NA values in the measurement variable.

digits

The number of significant figures to use in output.

...

Other arguments. Not currently used.

Author

Salvatore Mangiafico,

Details

The input should include either formula and data; or data, var, and group. (See examples).

The function computes means, standard deviations, standard errors, and confidence intervals on log-transformed values. Confidence intervals are calculated in the traditional manner with the t-distribution on the transformed values, and then back-transforms the confidence interval limits. These statistics assume that the data are log-normally distributed. For data not meeting this assumption, medians and confidence intervals by bootstrap may be more appropriate.

References

https://rcompanion.org/handbook/C_03.html

See Also

groupwiseMean, groupwiseMedian, groupwiseHuber

Examples

### Example with formula notation 
data(Catbus)
groupwiseGeometric(Steps ~ Gender + Teacher,
                   data   = Catbus)

### Example with variable notation                                              
data(Catbus)
groupwiseGeometric(data   = Catbus,
                   var    = "Steps",
                   group  = c("Gender", "Teacher"))